NLP Cloud is a developer API platform offering more than 20 natural language processing use cases from one account, including text generation, chatbot and conversational AI, translation across 200 languages, summarization, classification, named entity recognition, speech-to-text via Whisper, text-to-speech, semantic search and code generation, built on open-source and in-house models such as GPT-OSS 120B, LLaMA 3.1 405B and its own fine-tuned models. The platform is built for data privacy by design: it states it does not see, store or train on customer data, is HIPAA, GDPR and CCPA compliant, and is working toward SOC 2 certification, and most models can be deployed on-premise or at the edge for teams that cannot send data to a third-party cloud. Founded in 2020 and headquartered in New York City, the self-funded company names customers including LAO, a French medical device laboratory using its classification API for support-ticket triage.
Running the most advanced generative models, such as GPT-OSS 120B or LLaMA 3.1 405B, needs a GPU for good throughput, so a team planning to self-host rather than use the hosted API should budget for that infrastructure. As a small, independent company competing against much larger AI API providers, a team evaluating NLP Cloud for a long-term production dependency should weigh that against the stated benefits of privacy and on-premise deployment.
The Free plan lets any model be tested with no credit card, though throughput is limited. Pay As You Go is $0 a month plus usage, automatically includes a $15 free credit, and charges per request or per 1,000 tokens depending on the model, for example $0.003 per request on CPU, $0.005 on GPU, or roughly $0.0018 per 1,000 tokens for GPT-OSS 120B and LLaMA-class models. Additional fixed-throughput and dedicated-instance plans are available beyond the pay-as-you-go tier.
